… In order to do this, we fused the scores of two techniques (PCA and DCT). First, we extract
the PCA vector and then the feature vector of DCT was extracted from the test face image …

… techniques. The PCA & DCT are conventional fusion techniques with many drawbacks,
whereas DWT based techniques are more favorable as they provides better results for image …

… and classification, a new method is proposed in this paper based on the fusion of … and
PCA fusion methods are used to fuse the local and global features extracted from facial …

… and better classification performance Kernel Principal Components Analysis (KPCA) is
applied. Wavelet fusion method is used to fuse the features extracted from GWT and DCT. Finally …

… Medical image fusion acts as a ‘life saving tool’– thus it has emerged as a promising … more
information for the sake of diagnostic purposes. This paper proposes a hybrid fusion algorithm …

… , the texture-based feature extraction schemes can be used, … the features extracted from
those blocks are computed [2–16]. In this regard, generally, principal component analysis (PCA) …

… are based on Kernel Principal Component Analysis (KPCA), DCT, DWT and FrDCT etc. …
DWT for feature extraction followed by FrDCT. So, using fusion of both the technique we can …

… In order to do cross validation we have also implemented the enhanced DCT and PCA
based image fusion using fuzzy enhancement. Table 1 is showing the various medical images …

… Spatial domain technique PCA is use to extract the features and extracted … Principle line
feature extracted by using Hough transform is used as fusion method for verification system. …

… the feature extraction, these features or objects and property descriptor information from input
source images is fused … transforms (CT), discrete cosine transform (DCT), neural networks, …